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SIGNALS & SYSTEMS

Course
EELE321 - SIGNALS & SYSTEMS
Department
Electrical - Electronic Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
4
ECTS
7
T+P+L
4 + 0 + 1
Course Coordinator(s)
-
Prerequisite
Keywords

Course Description

Classification of Signals and Basic Signal Properties. Time Domain Models of Linear Time Invariant (LTI) Systems: Continuous time systems. Causal LTI systems described by differential equations. System block diagrams. The solutions of differential equations. The unit impulse response and convolution integral. State variable analysis of LTI systems. Discrete time systems. The unit sample response and discrete convolution. Fourier series and Fourier transform representation of continuous-time and discrete- time periodic signals. Time and frequency characterization of signals and systems. Z-transform and inverse z-transform. Region of convergence of the z-transform. z-domain analysis of discrete LTI systems. LTI Systems With Random Inputs. Definition of Random variables, stochastic process, first and second order statistics, moment, correlation and co-variance, stationary process, ergodicity. System resonse.

SIGNALS & SYSTEMS

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 35
Final Final 45
Lab Project 10
Quiz 1 Quiz 5
Quiz 2 Quiz 5
Total 100

Course outcomes

  1. 01 Identify the concepts of Discrete Time and Continuous Time signals and systems,
  2. 02 Compute and draw the Discrete Time and Continuous Time time-domain operations of signals,
  3. 03 Characterize systems depending on their properties.
  4. 04 Draw and analyze a systems block diagram.
  5. 05 Derive the output signal of a system for a given input.
  6. 06 Derive the transformation of signals from time domain to frequency domain or vica versa,
  7. 07 Implement signals and systems by using a numerical modelling software (MATLAB).

Course Syllabus

Week Topic
Week 1 Course introduction. Basic CT and DT signals, time-frequency domains introduction. Transformation of the independent variable, signal energy and power.
Week 2 Course introduction. Basic CT and DT signals, time-frequency domains introduction. Transformation of the independent variable, signal energy and power.
Week 3 Classification of Signals. Elementary Signals. Basic operations on signals.
Week 4 CT and DT systems. Basic system properties. Linear Time-invariant systems
Week 5 DT-LTI systems Convolution sum.
Week 6 CT-LTI systems convoltion integral.
Week 7 MIDTERM EXAMS
Week 8 Properties of LTI systems. Interconnection of LTI systems. Relations between LTI system properties and the impulse response.
Week 9 Difference and differential equation representations of LTI systems. Block diagram representations.
Week 10 Fourier representations for four classes of signals.
Week 11 Fourier representations for four classes of signals.
Week 12 Fourier representations for four classes of signals.
Week 13 Properties of Fourier Representations.
Week 14 Properties of Fourier Representations.
Week 15 -

Reference Books & Course Materials

  1. 01 Oppenheim, A. V., Willsky A. S. with Nawab, S. H., Signals & Systems, 2nd Edition, Prentice-Hall, 1997.
  2. 02 Simon Haykin & Barry Van Veen, Signals and Systems, 2nd edition, John Wiley & sons, Inc 2003.
  3. 03 Buck, J. R., Daniel, M. M. and Singer, A. C., Computer Explorations in Signals and Systems Using MATLAB, Prentice-Hall, 1997.
  4. 04 Kwakernaak, H., Sivan, R., Modern Signals and Systems, Prentice-Hall, 1991.

Learning Outcomes

  1. L01 Identify the properties of signals, SOLO 2
  2. L02 Apply the Discrete Time and Continuous Time operations of signals and illustrate the results, SOLO 3
  3. L03 Characterize systems depending on their properties. SOLO 3
  4. L04 Diagram and analyze a systems block diagram. SOLO 3
  5. L05 Derive the output signal of a system for a given input. SOLO 4
  6. L06 Derive the transformation of signals from time domain to frequency domain or vica versa, SOLO 4
  7. L07 Implement signals and systems by using a numerical modelling software (MATLAB). SOLO 4

Program Outcomes

  1. P01 Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
  2. P02 Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
  3. P03 Should have the ability to detect, define, formulate, and solve complex engineering problems.
  4. P04 Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
  5. P05 Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
  6. P06 Should have the ability to apply modern design methods.
  7. P07 Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
  8. P08 Should have the ability to use information technologies effectively.
  9. P09 Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
  10. P10 Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
  11. P11 Should have the ability to work in intradisciplinary teams.
  12. P12 Should have the ability to work in interdisciplinary teams.
  13. P13 Should have the skills to work individually.
  14. P14 Should have the ability to communicate effectively verbally and in writing.
  15. P15 Should have the knowledge of at least one foreign language.
  16. P16 Should be able to write effective reports, understand written reports, and prepare design and production reports.
  17. P17 Should have the ability to make effective presentations.
  18. P18 Should have the ability to give and have clear and understandable instructions.
  19. P19 Should gain consciousness (awareness) about the necessity of lifelong learning.
  20. P20 Should have the ability to access information.
  21. P21 Should have the ability to follow developments in science and technology and constantly renew himself/herself.
  22. P22 Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
  23. P23 Should gain knowledge about the standards used in engineering applications.
  24. P24 Should gain knowledge about project management, risk management, and change management practices in business life.
  25. P25 Should gain awareness about entrepreneurship, and innovation.
  26. P26 Should gain knowledge about development in sustainability.
  27. P27 Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
  28. P28 Awareness should be gained about the legal consequences of engineering solutions.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L06 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L07 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -